| A proportional hazards cure model for the analysis of time to event with frequently unidentifiable causes. | |
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MedLine Citation:
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PMID: 18078485 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We propose a semiparametric method for the analysis of masked-cause failure data that are also subject to a cure. We present estimators for the failure time distribution, the cure rate, and the covariate effect on each of these, assuming a proportional hazards cure model for the time to event of interest and we use the expectation-maximization algorithm to conduct the likelihood maximization. The method is applied to data from a breast cancer clinical trial. |
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Authors:
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Suzanne E Dahlberg; Molin Wang |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Biometrics Volume: 63 ISSN: 0006-341X ISO Abbreviation: Biometrics Publication Date: 2007 Dec |
Date Detail:
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Created Date: 2007-12-14 Completed Date: 2008-01-22 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0370625 Medline TA: Biometrics Country: United States |
Other Details:
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Languages: eng Pagination: 1237-44 Citation Subset: IM |
Affiliation:
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Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA. dahlberg@jimmy.harvard.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Breast Neoplasms
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epidemiology*,
therapy* Causality Female Humans Outcome Assessment (Health Care) / methods* Proportional Hazards Models* Risk Assessment / methods* Risk Factors Sensitivity and Specificity Time Factors Treatment Outcome |
| Grant Support | |
ID/Acronym/Agency:
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CA-75362/CA/NCI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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